QA Performance - Senior QA Engineer

Job Descriptions:

1. Job Requirement

We are seeking a highly skilled Senior Generative AI Developer to join our AI/ML team. This role focuses on leveraging cutting-edge Generative AI (GenAI) technologies to drive innovation and efficiency in software development and business processes. The ideal candidate will work on advanced techniques such as Retrieval-Augmented Generation (RAG), document chunking, and data embedding across multiple vector databases. They will collaborate closely with cross-functional teams to design, implement, and optimize AI-driven solutions, with exposure to cloud-native AI platforms like Amazon Bedrock and Microsoft Azure OpenAI considered a plus.

Responsibilities:

• Develop and deploy GenAI-based applications to solve complex business problems.
• Implement RAG frameworks to enhance information retrieval and response accuracy.
• Design and optimize document chunking strategies tailored to specific data types and use cases.
• Build and manage data embeddings using various vector databases for high-performance similarity searches.
• Collaborate with data engineers and scientists to integrate AI solutions seamlessly into existing pipelines.
• Explore and implement best practices for leveraging Amazon Bedrock and Azure OpenAI services.
• Stay updated on emerging trends and technologies in the GenAI and AI/ML landscape.

2. Required Technical Skillsets

Mandatory Skills:

• Proficiency in Generative AI frameworks and technologies like
• Prompt Engineering – creating specific prompts to guide LLM outputs
• Fine Tuning and Few-Shot learning – Adapting LLMs for domain-specific tasks.
• Retrieval-Augmented Generation (RAG) – Combining LLMs with external data retrieval systems
• Text-to-Text Transfer Transformation (T5) – Framework for translating tasks into text forms.
• Expertise in designing and implementing chunking strategies for diverse datasets.
• Strong knowledge of data embedding techniques and working experience with vector databases like Pinecone, Weaviate, or Milvus.
• Solid programming skills in Python, with experience in AI/ML libraries such as TensorFlow, PyTorch, or Hugging Face Transformers.
• Familiarity with cloud platforms and services for AI/ML workloads (AWS or Azure).
• Experience with API integration for AI services and building scalable applications.

Desirable Skills:

• Hands-on experience with Amazon Bedrock and/or Microsoft Azure OpenAI services.
• Knowledge of natural language processing (NLP) techniques and large language model (LLM) fine-tuning.
• Exposure to different chunking strategies, including overlap and semantic segmentation.
• Understanding of DevOps practices for deploying and managing AI models in production.
• Strong problem-solving and analytical skills with a focus on delivering value-driven solutions.

Who are we and what do we do?

Digio is a fast growing,profitable product startup founded in 2016 by ex-Flipkart, Twitter folks, playing a key role in India’s Digital story.

The company is building software platforms and products to power business processes, to go paperless and digital in order to bring down cost overheads, time involved in erstwhile offline business processes, thereby being instrumental in increasing operational efficacy and human productivity along with enabling presence-less digital reach and super rich end user experience.

Digio is the market leader in India for Digital onboarding and has played a key role so far in enabling Digital Transformation in India by empowering a large part of the Indian eco-system specifically Fintech sector of India. Digio has been honored as the world's 100 most innovative Regtech companies by the World Fintech Forum.

You can view their website at http://www.digio.in/">https://www.digio.in or find them on Twitter, Facebook, and LinkedIn.

Roles & Responsibilities:

As a Senior Android Engineer at Digio your responsibilities will be:

• Drive Digio SDKs, Libraries, App development in Java, Kotlin and Flutter.
• Take care of performance and security Android level.
• Keep it crash free, modular, perfectly memory managed for mass level usage.
• Usage of Java based REST APIs and backend level developments.
• Drive Android level development as well around available AI, ML and Vision Android libraries.

Requirements:

• Education: B.Tech. (CS/IT) / B.Sc. (CS) / M.Tech. / MCA.
• Experience suitable to above mentioned requirements around Android. IOS experience is plus.
• Experience in creating Android Apps from scratch.
• Experience with Kotlin, Flutter. Experience with Dagger. 
• Experience in dealing with WebViews - Javascript and Native android communications.
• Good low level and High level software design and architecture skills, experience of working with distributed environments.
• Have good understanding on Android and IOS internals and memory management.
• Fast learning abilities.
• 3-5 years of experience and at least 2 years working with product company.

Technical Competencies 

• Experience in testing web-based applications.
• Experience in Systems Integration Testing and System Testing
• Understanding of SDLC models like Waterfall, Agile
• Knowledge of testing process and activities (STLC)
• Automotive domain knowledge will be a huge advantage
• Ability to excel in usage of different tools
• Experienced in creating and developing Test Plan, Test Cases, Test Scripts, Test Reports, and

Defect Reports for Manual tests and Automated tests. 

• Extensively performed Functional, System, Regression testing, and Sanity testing
• Experience in Defect Tracking tools such as HP ALM Quality Center, Rational Clear Quest, JIRA

&         DevOps. 

• Strong skills in test planning/designing/execution and analyzing user requirements as well as

                writing Test scripts for usability and GUI testing apart from functional testing 

• 1-4 years of End to End application testing experience
• Experience or thorough understanding of Automotive industry and processes followed.
• Experience/knowledge in Automation Testing using Selenium Web Driver, QTP, IDE etc
• Experience/knowledge in Performance Testing using tools such as Load Runner, JMeter.

Experience 

• 2-4 years of Functional Testing (Manual) experience
• 2-4 years of AGILE experience
• 2-4 years of hands on experience in all types of Black Box testing (Smoke, Sanity, System,

Integration, Regression, UAT) 

• Automotive domain knowledge preferred and will be an added advantage
• Immediate joiners preferred